Here, we’re just setting a few options.
Now, we’re preparing our data for the codebook.
Create codebook
codebook(codebook_data,
detailed_variables = TRUE,
detailed_scales = TRUE,
metadata_json = FALSE)
## Loading required namespace: GPArotation
Dataset name: codebook_data
The dataset has N=90 rows and 223 columns. 1 rows have no missing values on any column.
|
#Variables
Distribution of values for ID
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| ID | character | 0 | 1 | 80 | 0 | 1 | 2 | 0 | NA |
Distribution of values for prolific_pid
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| prolific_pid | character | 0 | 1 | 90 | 0 | 24 | 24 | 0 | NA |
Distribution of values for loginID
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| loginID | character | 0 | 1 | 90 | 0 | 6 | 6 | 0 | NA |
Distribution of values for loginPassword
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| loginPassword | character | 0 | 1 | 87 | 0 | 3 | 3 | 0 | NA |
Distribution of values for idcodefinal
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| idcodefinal | character | 0 | 1 | 90 | 0 | 10 | 22 | 0 | NA |
Distribution of values for dummy_informedconsent
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| dummy_informedconsent | character | 0 | 1 | 1 | 0 | 1 | 1 | 0 | NA |
Distribution of values for check_caminst
78 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| check_caminst | numeric | 78 | 0.1333333 | 1 | 1 | 2 | 1.166667 | 0.3892495 | <U+2587><U+2581><U+2581><U+2581><U+2582> | NA |
Distribution of values for dummy_honestycontract
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| dummy_honestycontract | numeric | 0 | 1 | 1 | 1 | 1 | 1 | 0 | <U+2581><U+2581><U+2587><U+2581><U+2581> | NA |
Distribution of values for sociodemo_age
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| sociodemo_age | numeric | 0 | 1 | 19 | 32 | 72 | 33.31111 | 12.23978 | <U+2587><U+2586><U+2582><U+2581><U+2581> | NA |
Distribution of values for sociodemo_gender
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_gender | character | 0 | 1 | 3 | 0 | 4 | 8 | 0 | NA |
Distribution of values for sociodemo_education
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_education | character | 0 | 1 | 6 | 1 | 0 | 10 | 0 | NA |
Distribution of values for sociodemo_impexp
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_impexp | character | 0 | 1 | 2 | 0 | 2 | 3 | 0 | NA |
Distribution of values for sociodemo_impexpwho
86 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_impexpwho | character | 86 | 0.0444444 | 3 | 0 | 5 | 6 | 0 | NA |
Distribution of values for sociodemo_country
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_country | character | 0 | 1 | 11 | 0 | 5 | 24 | 0 | NA |
Distribution of values for sociodemo_faith
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_faith | character | 0 | 1 | 4 | 0 | 1 | 1 | 0 | NA |
Distribution of values for featurestechnologyfeelings.01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| featurestechnologyfeelings.01 | numeric | 0 | 1 | 2 | 7 | 7 | 6.311111 | 0.9318876 | <U+2581><U+2581><U+2581><U+2585><U+2587> | NA |
Distribution of values for featurestechnologyfeelings.02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| featurestechnologyfeelings.02 | numeric | 0 | 1 | 3 | 6 | 7 | 5.933333 | 0.9921037 | <U+2581><U+2582><U+2583><U+2587><U+2587> | NA |
Distribution of values for featurestechnologyfeelings.03
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| featurestechnologyfeelings.03 | numeric | 0 | 1 | 2 | 7 | 7 | 6.277778 | 0.9364981 | <U+2581><U+2581><U+2582><U+2585><U+2587> | NA |
Distribution of values for featurestechnologyfeelings.04
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| featurestechnologyfeelings.04 | numeric | 0 | 1 | 1 | 7 | 7 | 5.933333 | 1.444089 | <U+2581><U+2581><U+2581><U+2581><U+2587> | NA |
Distribution of values for featurestechnologyfeelings.05
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| featurestechnologyfeelings.05 | numeric | 0 | 1 | 1 | 6 | 7 | 5.966667 | 1.136227 | <U+2581><U+2581><U+2581><U+2582><U+2587> | NA |
Distribution of values for featurestechnologyfeelings.06
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| featurestechnologyfeelings.06 | numeric | 0 | 1 | 4 | 6 | 7 | 6.111111 | 1.010556 | <U+2582><U+2582><U+2581><U+2586><U+2587> | NA |
Distribution of values for outcomerating_useful.01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| outcomerating_useful.01 | numeric | 0 | 1 | 1 | 3 | 5 | 3.3 | 1.054152 | <U+2581><U+2585><U+2587><U+2587><U+2583> | NA |
Distribution of values for outcomerating_good.01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| outcomerating_good.01 | numeric | 0 | 1 | 1 | 3 | 5 | 3.177778 | 1.117559 | <U+2582><U+2583><U+2587><U+2587><U+2582> | NA |
Distribution of values for outcomedummy_moral
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| outcomedummy_moral | numeric | 0 | 1 | 0 | 0 | 1 | 0.4666667 | 0.5016826 | <U+2587><U+2581><U+2581><U+2581><U+2587> | NA |
Distribution of values for outcomedummy_insurance
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| outcomedummy_insurance | numeric | 0 | 1 | 0 | 1 | 1 | 0.5111111 | 0.502677 | <U+2587><U+2581><U+2581><U+2581><U+2587> | NA |
Distribution of values for outcomedummy_funds
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| outcomedummy_funds | numeric | 0 | 1 | 0 | 0 | 1 | 0.4777778 | 0.5023043 | <U+2587><U+2581><U+2581><U+2581><U+2587> | NA |
Distribution of values for outcomedummy_prohibited
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| outcomedummy_prohibited | numeric | 0 | 1 | 0 | 0 | 1 | 0.2 | 0.4022409 | <U+2587><U+2581><U+2581><U+2581><U+2582> | NA |
Distribution of values for ques_mostimpnode
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| ques_mostimpnode | character | 0 | 1 | 81 | 0 | 4 | 41 | 0 | NA |
Distribution of values for feedCAM_repres
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| feedCAM_repres | numeric | 0 | 1 | 2 | 6 | 7 | 6.033333 | 0.8798621 | <U+2581><U+2581><U+2583><U+2587><U+2585> | NA |
Distribution of values for feedCAM_technicalprobs
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| feedCAM_technicalprobs | numeric | 0 | 1 | 0 | 0 | 1 | 0.2111111 | 0.4103833 | <U+2587><U+2581><U+2581><U+2581><U+2582> | NA |
Distribution of values for feedCAM_technicalprobsText
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| feedCAM_technicalprobsText | character | 0 | 1 | 20 | 71 | 0 | 201 | 0 | NA |
Distribution of values for feedCAM_stopdrawing
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| feedCAM_stopdrawing | numeric | 0 | 1 | 0 | 0 | 1 | 0.0555556 | 0.2303447 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for feedCAM_stopdrawingText
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| feedCAM_stopdrawingText | character | 0 | 1 | 6 | 85 | 0 | 92 | 0 | NA |
Distribution of values for feedCAM_already
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| feedCAM_already | numeric | 0 | 1 | 0 | 0 | 2 | 0.1666667 | 0.5246722 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for feedCAM_alreadyText
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| feedCAM_alreadyText | character | 0 | 1 | 7 | 84 | 0 | 67 | 0 | NA |
Distribution of values for feedback_critic
2 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| feedback_critic | character | 2 | 0.9777778 | 60 | 28 | 0 | 581 | 0 | NA |
Distribution of values for paradefocus
44 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| paradefocus | numeric | 44 | 0.5111111 | 1 | 2 | 89 | 8.956522 | 17.11784 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for durationtotal
8 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| durationtotal | numeric | 8 | 0.9111111 | 23 | 57 | 198 | 61.62476 | 27.40293 | <U+2587><U+2586><U+2582><U+2581><U+2581> | NA |
Distribution of values for sociodemo_studentdummy
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_studentdummy | character | 0 | 1 | 3 | 1 | 0 | 3 | 0 | NA |
Distribution of values for sociodemo_employment
0 missing values.
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| sociodemo_employment | character | 0 | 1 | 6 | 0 | 5 | 56 | 0 | NA |
Distribution of values for duration_06scenariotext
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_06scenariotext | numeric | 0 | 1 | 62 | 123 | 498 | 150.1851 | 87.55816 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_10caminstruct1
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_10caminstruct1 | numeric | 0 | 1 | 47 | 302 | 2444 | 354.8176 | 287.801 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_07quesTechnologicalImplant
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_07quesTechnologicalImplant | numeric | 0 | 1 | 14 | 32 | 153 | 39.93311 | 27.92708 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_07quesTechnologicalImplant
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_07quesTechnologicalImplant | numeric | 0 | 1 | 0 | 0 | 9 | 0.7444444 | 1.353822 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_ethicscale_01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_ethicscale_01 | numeric | 0 | 1 | 8.8 | 50 | 234 | 62.35967 | 38.36097 | <U+2587><U+2586><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_ethicscale_01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_ethicscale_01 | numeric | 0 | 1 | 0 | 0.5 | 7 | 1.155556 | 1.578729 | <U+2587><U+2582><U+2582><U+2581><U+2581> | NA |
Distribution of values for duration_ethicscale_02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_ethicscale_02 | numeric | 0 | 1 | 9.3 | 45 | 648 | 63.20378 | 82.72533 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_ethicscale_02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_ethicscale_02 | numeric | 0 | 1 | 0 | 1 | 10 | 1.411111 | 1.907374 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_ethicscale_03
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_ethicscale_03 | numeric | 0 | 1 | 8.6 | 42 | 164 | 50.91811 | 28.73207 | <U+2587><U+2586><U+2582><U+2581><U+2581> | NA |
Distribution of values for countclicks_ethicscale_03
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_ethicscale_03 | numeric | 0 | 1 | 0 | 1 | 7 | 1.455556 | 1.67037 | <U+2587><U+2582><U+2582><U+2581><U+2581> | NA |
Distribution of values for duration_ethicscale_04
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_ethicscale_04 | numeric | 0 | 1 | 7.9 | 42 | 155 | 48.98378 | 28.92376 | <U+2587><U+2587><U+2582><U+2581><U+2581> | NA |
Distribution of values for countclicks_ethicscale_04
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_ethicscale_04 | numeric | 0 | 1 | 0 | 1 | 9 | 1.4 | 1.674662 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_ethicscale_05
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_ethicscale_05 | numeric | 0 | 1 | 7.3 | 33 | 147 | 39.12539 | 23.27125 | <U+2587><U+2585><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_ethicscale_05
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_ethicscale_05 | numeric | 0 | 1 | 0 | 1 | 8 | 1.144444 | 1.597478 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_rel02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_rel02 | numeric | 0 | 1 | 2.5 | 16 | 149 | 24.23094 | 25.1229 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_rel02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_rel02 | numeric | 0 | 1 | 0 | 0 | 5 | 0.4111111 | 0.8855195 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_vol10
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_vol10 | numeric | 0 | 1 | 2.7 | 21 | 154 | 27.29189 | 20.91655 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_vol10
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_vol10 | numeric | 0 | 1 | 0 | 0 | 4 | 0.3888889 | 0.8030062 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_img03
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_img03 | numeric | 0 | 1 | 3.2 | 17 | 140 | 23.37356 | 21.67672 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_img03
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_img03 | numeric | 0 | 1 | 0 | 0 | 7 | 0.5 | 1.220149 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_enj09
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_enj09 | numeric | 0 | 1 | 2.4 | 13 | 117 | 17.54856 | 17.16578 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_enj09
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_enj09 | numeric | 0 | 1 | 0 | 0 | 5 | 0.3666667 | 0.9050421 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_canx08
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_canx08 | numeric | 0 | 1 | 4 | 16 | 221 | 22.7185 | 26.01469 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_canx08
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_canx08 | numeric | 0 | 1 | 0 | 0 | 7 | 0.7111111 | 1.274155 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_pec07
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_pec07 | numeric | 0 | 1 | 2.6 | 24 | 366 | 31.96933 | 39.48167 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_pec07
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_pec07 | numeric | 0 | 1 | 0 | 0 | 7 | 0.6 | 1.149499 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_bi04
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_bi04 | numeric | 0 | 1 | 5.1 | 26 | 577 | 35.34539 | 59.81958 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_bi04
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_bi04 | numeric | 0 | 1 | 0 | 0.5 | 6 | 0.8777778 | 1.139956 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_pu05
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_pu05 | numeric | 0 | 1 | 3.6 | 18 | 67 | 19.95939 | 11.81635 | <U+2587><U+2587><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_pu05
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_pu05 | numeric | 0 | 1 | 0 | 0 | 4 | 0.4666667 | 0.8637519 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_res01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_res01 | numeric | 0 | 1 | 3.4 | 23 | 265 | 30.81072 | 30.32102 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_res01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_res01 | numeric | 0 | 1 | 0 | 0 | 8 | 0.7 | 1.352899 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesTAM_sn06
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesTAM_sn06 | numeric | 0 | 1 | 4.5 | 23 | 158 | 31.724 | 22.60284 | <U+2587><U+2583><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesTAM_sn06
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesTAM_sn06 | numeric | 0 | 1 | 0 | 0 | 6 | 0.7222222 | 1.161438 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_quesPANAS01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_quesPANAS01 | numeric | 0 | 1 | 13 | 31 | 195 | 39.0155 | 29.65596 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_quesPANAS02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_quesPANAS02 | numeric | 0 | 1 | 9.4 | 24 | 99 | 27.77422 | 14.11098 | <U+2587><U+2583><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesConflictMan01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesConflictMan01 | numeric | 0 | 1 | 12 | 68 | 1071 | 87.47111 | 111.4682 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesConflictMan01
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesConflictMan01 | numeric | 0 | 1 | 0 | 1 | 8 | 1.555556 | 1.932054 | <U+2587><U+2583><U+2581><U+2581><U+2581> | NA |
Distribution of values for duration_XXquesConflictMan02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| duration_XXquesConflictMan02 | numeric | 0 | 1 | 11 | 46 | 317 | 57.79606 | 42.87752 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Distribution of values for countclicks_XXquesConflictMan02
0 missing values.
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| countclicks_XXquesConflictMan02 | numeric | 0 | 1 | 0 | 1 | 9 | 1.1 | 1.558233 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
Reliability: .
Missing: 0.
Likert plot of scale relativist items
Distribution of scale relativist
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | relativist01, relativist02, relativist03, relativist04 & relativist05 |
| Observations: | 90 |
| Positive correlations: | 10 |
| Number of correlations: | 10 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.90 |
| Omega (hierarchical): | 0.78 |
| Revelle’s Omega (total): | 0.90 |
| Greatest Lower Bound (GLB): | 0.89 |
| Coefficient H: | 0.85 |
| Coefficient Alpha: | 0.84 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
3.086, 0.808, 0.454, 0.383 & 0.269
| PC1 | |
|---|---|
| relativist01 | 0.812 |
| relativist02 | 0.817 |
| relativist03 | 0.755 |
| relativist04 | 0.765 |
| relativist05 | 0.778 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| relativist01 | 3.5778 | 4 | 2.6287 | 1.6213 | 3 | 0.1709 | 1 | 2 | 5 | 7 | 0.2295 | -0.6884 | 0.1 | 90 | 0 | 90 |
| relativist02 | 3.6667 | 4 | 2.9663 | 1.7223 | 3 | 0.1815 | 1 | 2 | 5 | 7 | -0.0195 | -0.8726 | 0.0833 | 90 | 0 | 90 |
| relativist03 | 2.7444 | 3 | 1.9452 | 1.3947 | 2 | 0.147 | 1 | 2 | 4 | 7 | 0.6236 | 0.0133 | 0.1167 | 90 | 0 | 90 |
| relativist04 | 4.5556 | 5 | 2.6542 | 1.6292 | 3 | 0.1717 | 1 | 3 | 6 | 7 | -0.3644 | -0.6218 | 0.1056 | 90 | 0 | 90 |
| relativist05 | 3.8556 | 4 | 2.0351 | 1.4266 | 2 | 0.1504 | 1 | 2 | 5 | 7 | -0.0722 | -0.4403 | 0.0889 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| relativist01 | numeric | 0 | 1 | 1 | 4 | 7 | 3.577778 | 1.621331 | <U+2587><U+2585><U+2586><U+2583><U+2583> | NA |
| relativist02 | numeric | 0 | 1 | 1 | 4 | 7 | 3.666667 | 1.722293 | <U+2587><U+2585><U+2587><U+2585><U+2585> | NA |
| relativist03 | numeric | 0 | 1 | 1 | 3 | 7 | 2.744444 | 1.394702 | <U+2587><U+2585><U+2582><U+2582><U+2581> | NA |
| relativist04 | numeric | 0 | 1 | 1 | 5 | 7 | 4.555556 | 1.629166 | <U+2583><U+2583><U+2585><U+2585><U+2587> | NA |
| relativist05 | numeric | 0 | 1 | 1 | 4 | 7 | 3.855556 | 1.426563 | <U+2585><U+2585><U+2587><U+2585><U+2583> | NA |
Reliability: .
Missing: 0.
Likert plot of scale contractualist items
Distribution of scale contractualist
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | contractualist01, contractualist02, contractualist03, contractualist04, contractualist05, contractualist06 & contractualist07 |
| Observations: | 90 |
| Positive correlations: | 21 |
| Number of correlations: | 21 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.93 |
| Omega (hierarchical): | 0.83 |
| Revelle’s Omega (total): | 0.93 |
| Greatest Lower Bound (GLB): | 0.93 |
| Coefficient H: | 0.91 |
| Coefficient Alpha: | 0.88 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
4.144, 0.958, 0.671, 0.466, 0.306, 0.243 & 0.212
| PC1 | |
|---|---|
| contractualist01 | 0.859 |
| contractualist02 | 0.846 |
| contractualist03 | 0.783 |
| contractualist04 | 0.701 |
| contractualist05 | 0.653 |
| contractualist06 | 0.864 |
| contractualist07 | 0.641 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| contractualist01 | 4.0333 | 4 | 1.7629 | 1.3278 | 2 | 0.14 | 1 | 3 | 5 | 7 | -0.2096 | -0.019 | 0.1056 | 90 | 0 | 90 |
| contractualist02 | 3.9667 | 4 | 1.9652 | 1.4018 | 2 | 0.1478 | 1 | 2 | 6 | 7 | -0.0397 | -0.4752 | 0.0722 | 90 | 0 | 90 |
| contractualist03 | 3.7333 | 4 | 2.8944 | 1.7013 | 2 | 0.1793 | 1 | 2.5 | 6 | 7 | 0.2189 | -0.691 | 0.1167 | 90 | 0 | 90 |
| contractualist04 | 4.0556 | 4 | 2.8171 | 1.6784 | 2 | 0.1769 | 1 | 3 | 6 | 7 | 0.1147 | -0.7474 | 0.1056 | 90 | 0 | 90 |
| contractualist05 | 3.8556 | 4 | 2.507 | 1.5833 | 2 | 0.1669 | 1 | 2 | 6 | 7 | 0.0694 | -0.4056 | 0.0778 | 90 | 0 | 90 |
| contractualist06 | 3.9556 | 4 | 2.6946 | 1.6415 | 2 | 0.173 | 1 | 3 | 6 | 7 | 0.0727 | -0.796 | 0.1 | 90 | 0 | 90 |
| contractualist07 | 3.6667 | 4 | 1.4382 | 1.1993 | 1 | 0.1264 | 1 | 2 | 5 | 7 | -0.0044 | 0.7469 | 0.0833 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| contractualist01 | numeric | 0 | 1 | 1 | 4 | 7 | 4.033333 | 1.327751 | <U+2583><U+2583><U+2587><U+2585><U+2583> | NA |
| contractualist02 | numeric | 0 | 1 | 1 | 4 | 7 | 3.966667 | 1.401845 | <U+2583><U+2583><U+2587><U+2583><U+2583> | NA |
| contractualist03 | numeric | 0 | 1 | 1 | 4 | 7 | 3.733333 | 1.701288 | <U+2587><U+2587><U+2587><U+2582><U+2586> | NA |
| contractualist04 | numeric | 0 | 1 | 1 | 4 | 7 | 4.055556 | 1.678423 | <U+2586><U+2587><U+2587><U+2585><U+2587> | NA |
| contractualist05 | numeric | 0 | 1 | 1 | 4 | 7 | 3.855556 | 1.583348 | <U+2585><U+2583><U+2587><U+2582><U+2583> | NA |
| contractualist06 | numeric | 0 | 1 | 1 | 4 | 7 | 3.955556 | 1.641533 | <U+2587><U+2587><U+2587><U+2586><U+2587> | NA |
| contractualist07 | numeric | 0 | 1 | 1 | 4 | 7 | 3.666667 | 1.199251 | <U+2583><U+2582><U+2587><U+2582><U+2581> | NA |
Reliability: .
Missing: 0.
Likert plot of scale hedonism items
Distribution of scale hedonism
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | hedonism01, hedonism02, hedonism03, hedonism04, hedonism05, hedonism06, hedonism07, hedonism08, hedonism09 & hedonism10 |
| Observations: | 90 |
| Positive correlations: | 45 |
| Number of correlations: | 45 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.91 |
| Omega (hierarchical): | 0.75 |
| Revelle’s Omega (total): | 0.91 |
| Greatest Lower Bound (GLB): | 0.93 |
| Coefficient H: | 0.94 |
| Coefficient Alpha: | 0.88 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
5.124, 1.184, 0.936, 0.725, 0.603, 0.467, 0.379, 0.258, 0.183 & 0.141
| TC1 | TC2 | |
|---|---|---|
| hedonism01 | 0.449 | 0.579 |
| hedonism02 | -0.081 | 0.889 |
| hedonism03 | 0.542 | -0.132 |
| hedonism04 | 0.789 | -0.168 |
| hedonism05 | 0.786 | 0.239 |
| hedonism06 | 0.432 | 0.302 |
| hedonism07 | 0.801 | 0.158 |
| hedonism08 | 0.934 | -0.148 |
| hedonism09 | 0.638 | 0.236 |
| hedonism10 | 0.910 | -0.072 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| hedonism01 | 4.4444 | 5 | 2.789 | 1.67 | 3 | 0.176 | 1 | 3 | 6 | 7 | -0.5597 | -0.4528 | 0.1111 | 90 | 0 | 90 |
| hedonism02 | 4.6778 | 5 | 2.5355 | 1.5923 | 2 | 0.1678 | 1 | 4 | 6 | 7 | -0.7852 | 0.1755 | 0.1278 | 90 | 0 | 90 |
| hedonism03 | 2.1556 | 2 | 2.0429 | 1.4293 | 2 | 0.1507 | 1 | 1 | 4 | 7 | 1.4671 | 1.9348 | 0.1389 | 90 | 0 | 90 |
| hedonism04 | 3.6778 | 4 | 2.6703 | 1.6341 | 2 | 0.1722 | 1 | 3 | 5 | 7 | 0.0467 | -0.7762 | 0.1 | 90 | 0 | 90 |
| hedonism05 | 3.7778 | 4 | 2.6242 | 1.6199 | 2 | 0.1708 | 1 | 2 | 5 | 7 | -0.1495 | -0.801 | 0.0944 | 90 | 0 | 90 |
| hedonism06 | 4.7222 | 5 | 1.5961 | 1.2634 | 2 | 0.1332 | 1 | 4 | 6 | 7 | -0.1749 | 0.1261 | 0.1389 | 90 | 0 | 90 |
| hedonism07 | 4.7889 | 5 | 2.2134 | 1.4877 | 2 | 0.1568 | 1 | 4 | 6 | 7 | -0.633 | 0.2402 | 0.1222 | 90 | 0 | 90 |
| hedonism08 | 4.4333 | 5 | 2.7202 | 1.6493 | 3 | 0.1739 | 1 | 3 | 6 | 7 | -0.3715 | -0.6763 | 0.1056 | 90 | 0 | 90 |
| hedonism09 | 3.6333 | 4 | 2.9315 | 1.7122 | 3 | 0.1805 | 1 | 2 | 5 | 7 | 0.1933 | -0.7474 | 0.0889 | 90 | 0 | 90 |
| hedonism10 | 4.0444 | 4 | 2.9418 | 1.7152 | 2 | 0.1808 | 1 | 2 | 6 | 7 | -0.0021 | -0.9607 | 0.0833 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| hedonism01 | numeric | 0 | 1 | 1 | 5 | 7 | 4.444444 | 1.670034 | <U+2583><U+2583><U+2585><U+2585><U+2587> | NA |
| hedonism02 | numeric | 0 | 1 | 1 | 5 | 7 | 4.677778 | 1.592311 | <U+2582><U+2582><U+2585><U+2586><U+2587> | NA |
| hedonism03 | numeric | 0 | 1 | 1 | 2 | 7 | 2.155556 | 1.429317 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
| hedonism04 | numeric | 0 | 1 | 1 | 4 | 7 | 3.677778 | 1.634101 | <U+2587><U+2587><U+2586><U+2586><U+2585> | NA |
| hedonism05 | numeric | 0 | 1 | 1 | 4 | 7 | 3.777778 | 1.619944 | <U+2587><U+2586><U+2587><U+2586><U+2586> | NA |
| hedonism06 | numeric | 0 | 1 | 1 | 5 | 7 | 4.722222 | 1.263380 | <U+2581><U+2582><U+2587><U+2587><U+2586> | NA |
| hedonism07 | numeric | 0 | 1 | 1 | 5 | 7 | 4.788889 | 1.487736 | <U+2582><U+2582><U+2586><U+2585><U+2587> | NA |
| hedonism08 | numeric | 0 | 1 | 1 | 5 | 7 | 4.433333 | 1.649310 | <U+2583><U+2583><U+2585><U+2586><U+2587> | NA |
| hedonism09 | numeric | 0 | 1 | 1 | 4 | 7 | 3.633333 | 1.712151 | <U+2587><U+2585><U+2586><U+2585><U+2583> | NA |
| hedonism10 | numeric | 0 | 1 | 1 | 4 | 7 | 4.044444 | 1.715174 | <U+2587><U+2586><U+2587><U+2585><U+2587> | NA |
Reliability: .
Missing: 0.
Likert plot of scale utilitarian items
Distribution of scale utilitarian
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | utilitarian01, utilitarian02, utilitarian03, utilitarian04, utilitarian05, utilitarian06, utilitarian07, utilitarian08 & utilitarian09 |
| Observations: | 90 |
| Positive correlations: | 36 |
| Number of correlations: | 36 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.95 |
| Omega (hierarchical): | 0.80 |
| Revelle’s Omega (total): | 0.95 |
| Greatest Lower Bound (GLB): | 0.95 |
| Coefficient H: | 0.94 |
| Coefficient Alpha: | 0.93 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
5.708, 0.835, 0.594, 0.435, 0.413, 0.331, 0.268, 0.234 & 0.182
| PC1 | |
|---|---|
| utilitarian01 | 0.601 |
| utilitarian02 | 0.866 |
| utilitarian03 | 0.881 |
| utilitarian04 | 0.708 |
| utilitarian05 | 0.850 |
| utilitarian06 | 0.845 |
| utilitarian07 | 0.789 |
| utilitarian08 | 0.773 |
| utilitarian09 | 0.815 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| utilitarian01 | 5.0222 | 5 | 1.4152 | 1.1896 | 2 | 0.1254 | 1 | 4 | 6 | 7 | -0.6989 | 0.8733 | 0.1444 | 90 | 0 | 90 |
| utilitarian02 | 4.6333 | 5 | 1.8528 | 1.3612 | 2 | 0.1435 | 1 | 4 | 6 | 7 | -0.5612 | 0.1093 | 0.1278 | 90 | 0 | 90 |
| utilitarian03 | 4.2778 | 4 | 2.54 | 1.5937 | 2 | 0.168 | 1 | 2 | 5 | 7 | -0.2649 | -0.571 | 0.1056 | 90 | 0 | 90 |
| utilitarian04 | 4.4222 | 5 | 2.1793 | 1.4762 | 2 | 0.1556 | 1 | 4 | 6 | 7 | -0.616 | -0.2112 | 0.1278 | 90 | 0 | 90 |
| utilitarian05 | 4.1889 | 4 | 1.8853 | 1.3731 | 1 | 0.1447 | 1 | 2.5 | 5 | 7 | -0.3493 | 0.232 | 0.0944 | 90 | 0 | 90 |
| utilitarian06 | 4.3444 | 4 | 1.5991 | 1.2646 | 1 | 0.1333 | 1 | 2.5 | 5 | 7 | -0.4759 | 0.6085 | 0.15 | 90 | 0 | 90 |
| utilitarian07 | 4.2333 | 4 | 1.9112 | 1.3825 | 1 | 0.1457 | 1 | 2 | 5 | 7 | -0.2488 | -0.3643 | 0.1167 | 90 | 0 | 90 |
| utilitarian08 | 5.1 | 5 | 2.1584 | 1.4692 | 2 | 0.1549 | 1 | 4 | 6 | 7 | -0.8506 | 0.8573 | 0.1222 | 90 | 0 | 90 |
| utilitarian09 | 4.2667 | 4 | 2.6022 | 1.6131 | 3 | 0.17 | 1 | 2 | 6 | 7 | -0.3476 | -0.615 | 0.1056 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| utilitarian01 | numeric | 0 | 1 | 1 | 5 | 7 | 5.022222 | 1.189635 | <U+2581><U+2581><U+2585><U+2587><U+2587> | NA |
| utilitarian02 | numeric | 0 | 1 | 1 | 5 | 7 | 4.633333 | 1.361179 | <U+2582><U+2582><U+2587><U+2587><U+2587> | NA |
| utilitarian03 | numeric | 0 | 1 | 1 | 4 | 7 | 4.277778 | 1.593722 | <U+2585><U+2585><U+2586><U+2587><U+2587> | NA |
| utilitarian04 | numeric | 0 | 1 | 1 | 5 | 7 | 4.422222 | 1.476237 | <U+2585><U+2582><U+2587><U+2587><U+2587> | NA |
| utilitarian05 | numeric | 0 | 1 | 1 | 4 | 7 | 4.188889 | 1.373051 | <U+2582><U+2582><U+2587><U+2583><U+2583> | NA |
| utilitarian06 | numeric | 0 | 1 | 1 | 4 | 7 | 4.344444 | 1.264566 | <U+2582><U+2582><U+2587><U+2586><U+2583> | NA |
| utilitarian07 | numeric | 0 | 1 | 1 | 4 | 7 | 4.233333 | 1.382475 | <U+2583><U+2582><U+2587><U+2586><U+2585> | NA |
| utilitarian08 | numeric | 0 | 1 | 1 | 5 | 7 | 5.100000 | 1.469159 | <U+2581><U+2581><U+2585><U+2585><U+2587> | NA |
| utilitarian09 | numeric | 0 | 1 | 1 | 4 | 7 | 4.266667 | 1.613148 | <U+2585><U+2583><U+2587><U+2586><U+2587> | NA |
Reliability: .
Missing: 0.
Likert plot of scale deontology items
Distribution of scale deontology
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | deontology01, deontology02, deontology03, deontology04, deontology05, deontology06, deontology07 & deontology08 |
| Observations: | 90 |
| Positive correlations: | 28 |
| Number of correlations: | 28 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.92 |
| Omega (hierarchical): | 0.62 |
| Revelle’s Omega (total): | 0.92 |
| Greatest Lower Bound (GLB): | 0.93 |
| Coefficient H: | 0.90 |
| Coefficient Alpha: | 0.86 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
4.222, 1.219, 0.608, 0.507, 0.47, 0.406, 0.354 & 0.213
| TC1 | TC2 | |
|---|---|---|
| deontology01 | -0.088 | 0.937 |
| deontology02 | 0.299 | 0.706 |
| deontology03 | 0.824 | 0.090 |
| deontology04 | 0.837 | -0.248 |
| deontology05 | 0.779 | -0.033 |
| deontology06 | 0.587 | 0.359 |
| deontology07 | 0.822 | 0.038 |
| deontology08 | 0.745 | 0.114 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| deontology01 | 3.9222 | 4 | 1.7804 | 1.3343 | 1 | 0.1406 | 1 | 2 | 5.5 | 7 | -0.087 | 0.3682 | 0.0667 | 90 | 0 | 90 |
| deontology02 | 3.8111 | 4 | 1.3235 | 1.1504 | 1 | 0.1213 | 1 | 3 | 5 | 7 | -0.2539 | 1.4955 | 0.0833 | 90 | 0 | 90 |
| deontology03 | 3.4889 | 4 | 2.2527 | 1.5009 | 2 | 0.1582 | 1 | 2 | 5 | 7 | 0.1952 | -0.3823 | 0.0944 | 90 | 0 | 90 |
| deontology04 | 3.7889 | 4 | 2.9999 | 1.732 | 3 | 0.1826 | 1 | 2 | 6 | 7 | 0.2144 | -0.917 | 0.1 | 90 | 0 | 90 |
| deontology05 | 4.0111 | 4 | 1.5392 | 1.2406 | 2 | 0.1308 | 1 | 3 | 6 | 7 | -0.0576 | 0.4543 | 0.0722 | 90 | 0 | 90 |
| deontology06 | 4.0444 | 4 | 1.5486 | 1.2444 | 2 | 0.1312 | 1 | 3 | 5 | 7 | 0.0573 | 0.2176 | 0.1056 | 90 | 0 | 90 |
| deontology07 | 2.9333 | 3 | 2.3101 | 1.5199 | 2 | 0.1602 | 1 | 1 | 4 | 7 | 0.4292 | -0.5734 | 0.1111 | 90 | 0 | 90 |
| deontology08 | 3.8 | 4 | 1.6449 | 1.2826 | 1 | 0.1352 | 1 | 2 | 5 | 7 | -0.0732 | 0.2365 | 0.0667 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| deontology01 | numeric | 0 | 1 | 1 | 4 | 7 | 3.922222 | 1.334316 | <U+2582><U+2582><U+2587><U+2582><U+2582> | NA |
| deontology02 | numeric | 0 | 1 | 1 | 4 | 7 | 3.811111 | 1.150422 | <U+2582><U+2582><U+2587><U+2582><U+2581> | NA |
| deontology03 | numeric | 0 | 1 | 1 | 4 | 7 | 3.488889 | 1.500894 | <U+2587><U+2585><U+2587><U+2583><U+2582> | NA |
| deontology04 | numeric | 0 | 1 | 1 | 4 | 7 | 3.788889 | 1.732015 | <U+2587><U+2585><U+2586><U+2585><U+2585> | NA |
| deontology05 | numeric | 0 | 1 | 1 | 4 | 7 | 4.011111 | 1.240645 | <U+2582><U+2582><U+2587><U+2582><U+2582> | NA |
| deontology06 | numeric | 0 | 1 | 1 | 4 | 7 | 4.044444 | 1.244413 | <U+2582><U+2585><U+2587><U+2585><U+2582> | NA |
| deontology07 | numeric | 0 | 1 | 1 | 3 | 7 | 2.933333 | 1.519905 | <U+2587><U+2585><U+2583><U+2582><U+2581> | NA |
| deontology08 | numeric | 0 | 1 | 1 | 4 | 7 | 3.800000 | 1.282554 | <U+2583><U+2582><U+2587><U+2582><U+2582> | NA |
Reliability: .
Missing: 0.
Likert plot of scale virtue items
Distribution of scale virtue
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | virtue01, virtue02, virtue03, virtue04, virtue05, virtue06, virtue07, virtue08 & virtue09 |
| Observations: | 90 |
| Positive correlations: | 36 |
| Number of correlations: | 36 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.94 |
| Omega (hierarchical): | 0.78 |
| Revelle’s Omega (total): | 0.94 |
| Greatest Lower Bound (GLB): | 0.94 |
| Coefficient H: | 0.93 |
| Coefficient Alpha: | 0.91 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
5.247, 1.057, 0.758, 0.551, 0.453, 0.286, 0.253, 0.23 & 0.164
| TC1 | TC2 | |
|---|---|---|
| virtue01 | 0.821 | 0.048 |
| virtue02 | 0.846 | 0.059 |
| virtue03 | 0.384 | 0.631 |
| virtue04 | 0.601 | 0.120 |
| virtue05 | 0.537 | 0.538 |
| virtue06 | -0.126 | 0.924 |
| virtue07 | 0.826 | -0.107 |
| virtue08 | 0.907 | -0.171 |
| virtue09 | 0.626 | 0.359 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| virtue01 | 4 | 4 | 2.2921 | 1.514 | 2 | 0.1596 | 1 | 2 | 5 | 7 | -0.1788 | -0.4683 | 0.1278 | 90 | 0 | 90 |
| virtue02 | 4.0222 | 4 | 2.4489 | 1.5649 | 2 | 0.165 | 1 | 2 | 6 | 7 | -0.0376 | -0.6939 | 0.0889 | 90 | 0 | 90 |
| virtue03 | 4.4444 | 4 | 1.5755 | 1.2552 | 1 | 0.1323 | 1 | 2 | 6 | 7 | -0.0631 | 0.6518 | 0.0944 | 90 | 0 | 90 |
| virtue04 | 4.2444 | 4 | 1.4227 | 1.1928 | 1 | 0.1257 | 2 | 3 | 5 | 7 | 0.2426 | 0.0508 | 0.1056 | 90 | 0 | 90 |
| virtue05 | 4.4333 | 4 | 1.8663 | 1.3661 | 1 | 0.144 | 1 | 2 | 6 | 7 | -0.4789 | 0.3638 | 0.1111 | 90 | 0 | 90 |
| virtue06 | 5.3222 | 6 | 1.8164 | 1.3477 | 2 | 0.1421 | 1 | 4 | 7 | 7 | -0.8087 | 0.5371 | 0.1167 | 90 | 0 | 90 |
| virtue07 | 2.8333 | 2 | 3.0618 | 1.7498 | 3 | 0.1844 | 1 | 1 | 4 | 7 | 0.7886 | -0.3567 | 0.1111 | 90 | 0 | 90 |
| virtue08 | 3.7667 | 4 | 1.8663 | 1.3661 | 2 | 0.144 | 1 | 2 | 5 | 7 | -0.1874 | -0.4754 | 0.1056 | 90 | 0 | 90 |
| virtue09 | 4.6222 | 5 | 2.1253 | 1.4579 | 2 | 0.1537 | 1 | 4 | 6 | 7 | -0.5147 | -0.0478 | 0.1278 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| virtue01 | numeric | 0 | 1 | 1 | 4 | 7 | 4.000000 | 1.513980 | <U+2586><U+2585><U+2587><U+2587><U+2585> | NA |
| virtue02 | numeric | 0 | 1 | 1 | 4 | 7 | 4.022222 | 1.564909 | <U+2586><U+2582><U+2587><U+2585><U+2585> | NA |
| virtue03 | numeric | 0 | 1 | 1 | 4 | 7 | 4.444444 | 1.255201 | <U+2581><U+2581><U+2587><U+2583><U+2583> | NA |
| virtue04 | numeric | 0 | 1 | 2 | 4 | 7 | 4.244444 | 1.192779 | <U+2585><U+2587><U+2583><U+2582><U+2581> | NA |
| virtue05 | numeric | 0 | 1 | 1 | 4 | 7 | 4.433333 | 1.366123 | <U+2582><U+2582><U+2587><U+2585><U+2585> | NA |
| virtue06 | numeric | 0 | 1 | 1 | 6 | 7 | 5.322222 | 1.347722 | <U+2581><U+2581><U+2583><U+2583><U+2587> | NA |
| virtue07 | numeric | 0 | 1 | 1 | 2 | 7 | 2.833333 | 1.749799 | <U+2587><U+2583><U+2582><U+2581><U+2582> | NA |
| virtue08 | numeric | 0 | 1 | 1 | 4 | 7 | 3.766667 | 1.366123 | <U+2585><U+2583><U+2587><U+2585><U+2582> | NA |
| virtue09 | numeric | 0 | 1 | 1 | 5 | 7 | 4.622222 | 1.457856 | <U+2582><U+2582><U+2587><U+2587><U+2587> | NA |
Reliability: .
Missing: 0.
Likert plot of scale panas_negative items
Distribution of scale panas_negative
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | panas.01n, panas.02n, panas.03n, panas.04n, panas.05n, panas.06n, panas.07n, panas.08n, panas.09n & panas.10n |
| Observations: | 90 |
| Positive correlations: | 45 |
| Number of correlations: | 45 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.95 |
| Omega (hierarchical): | 0.77 |
| Revelle’s Omega (total): | 0.95 |
| Greatest Lower Bound (GLB): | 0.95 |
| Coefficient H: | 0.95 |
| Coefficient Alpha: | 0.92 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
5.86, 0.972, 0.881, 0.692, 0.439, 0.351, 0.31, 0.236, 0.161 & 0.098
| PC1 | |
|---|---|
| panas.01n | 0.861 |
| panas.02n | 0.844 |
| panas.03n | 0.520 |
| panas.04n | 0.879 |
| panas.05n | 0.696 |
| panas.06n | 0.813 |
| panas.07n | 0.684 |
| panas.08n | 0.786 |
| panas.09n | 0.640 |
| panas.10n | 0.851 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| panas.01n | 2.2111 | 2 | 1.4718 | 1.2132 | 2 | 0.1279 | 1 | 1 | 3 | 5 | 0.7027 | -0.4649 | 0.1222 | 90 | 0 | 90 |
| panas.02n | 1.9778 | 2 | 1.3928 | 1.1802 | 2 | 0.1244 | 1 | 1 | 3 | 5 | 1.0505 | 0.2731 | 0.1056 | 90 | 0 | 90 |
| panas.03n | 1.3778 | 1 | 0.5523 | 0.7432 | 0 | 0.0783 | 1 | NA | 3 | 4 | 1.776 | 1.8693 | 0.0611 | 90 | 0 | 90 |
| panas.04n | 2.7 | 2 | 1.4483 | 1.2035 | 2 | 0.1269 | 1 | 1 | 4 | 5 | 0.4842 | -0.7729 | 0.0889 | 90 | 0 | 90 |
| panas.05n | 1.9 | 2 | 1.1921 | 1.0918 | 1 | 0.1151 | 1 | 1 | 4 | 5 | 1.1028 | 0.3011 | 0.1444 | 90 | 0 | 90 |
| panas.06n | 1.8111 | 2 | 0.9414 | 0.9703 | 1 | 0.1023 | 1 | 1 | 3 | 4 | 0.9949 | -0.0566 | 0.15 | 90 | 0 | 90 |
| panas.07n | 1.3889 | 1 | 0.6448 | 0.803 | 1 | 0.0846 | 1 | NA | 2 | 5 | 2.5023 | 6.5362 | 0.0889 | 90 | 0 | 90 |
| panas.08n | 3.0667 | 3 | 1.4562 | 1.2067 | 2 | 0.1272 | 1 | 2 | 4 | 5 | 0.1835 | -1.2046 | 0.1333 | 90 | 0 | 90 |
| panas.09n | 2.1556 | 2 | 1.1441 | 1.0696 | 2 | 0.1127 | 1 | 1 | 3 | 5 | 0.7526 | 0.0119 | 0.1611 | 90 | 0 | 90 |
| panas.10n | 2.7667 | 2 | 1.327 | 1.1519 | 2 | 0.1214 | 1 | 1 | 4 | 5 | 0.4271 | -0.7749 | 0.1 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| panas.01n | numeric | 0 | 1 | 1 | 2 | 5 | 2.211111 | 1.2131716 | <U+2587><U+2585><U+2585><U+2582><U+2581> | NA |
| panas.02n | numeric | 0 | 1 | 1 | 2 | 5 | 1.977778 | 1.1801521 | <U+2587><U+2583><U+2583><U+2581><U+2581> | NA |
| panas.03n | numeric | 0 | 1 | 1 | 1 | 4 | 1.377778 | 0.7431754 | <U+2587><U+2581><U+2581><U+2581><U+2581> | NA |
| panas.04n | numeric | 0 | 1 | 1 | 2 | 5 | 2.700000 | 1.2034594 | <U+2582><U+2587><U+2583><U+2583><U+2582> | NA |
| panas.05n | numeric | 0 | 1 | 1 | 2 | 5 | 1.900000 | 1.0918493 | <U+2587><U+2585><U+2582><U+2582><U+2581> | NA |
| panas.06n | numeric | 0 | 1 | 1 | 2 | 4 | 1.811111 | 0.9702825 | <U+2587><U+2585><U+2581><U+2582><U+2582> | NA |
| panas.07n | numeric | 0 | 1 | 1 | 1 | 5 | 1.388889 | 0.8030062 | <U+2587><U+2582><U+2581><U+2581><U+2581> | NA |
| panas.08n | numeric | 0 | 1 | 1 | 3 | 5 | 3.066667 | 1.2067227 | <U+2581><U+2587><U+2583><U+2586><U+2583> | NA |
| panas.09n | numeric | 0 | 1 | 1 | 2 | 5 | 2.155556 | 1.0696120 | <U+2587><U+2587><U+2585><U+2582><U+2581> | NA |
| panas.10n | numeric | 0 | 1 | 1 | 2 | 5 | 2.766667 | 1.1519402 | <U+2582><U+2587><U+2583><U+2583><U+2582> | NA |
Reliability: .
Missing: 0.
Likert plot of scale panas_positive items
Distribution of scale panas_positive
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | panas.01p, panas.02p, panas.03p, panas.04p, panas.05p, panas.06p, panas.07p, panas.08p, panas.09p & panas.10p |
| Observations: | 90 |
| Positive correlations: | 45 |
| Number of correlations: | 45 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.95 |
| Omega (hierarchical): | 0.78 |
| Revelle’s Omega (total): | 0.95 |
| Greatest Lower Bound (GLB): | 0.96 |
| Coefficient H: | 0.93 |
| Coefficient Alpha: | 0.92 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
5.887, 1.203, 0.694, 0.456, 0.422, 0.357, 0.3, 0.26, 0.241 & 0.18
| TC1 | TC2 | |
|---|---|---|
| panas.01p | 0.686 | 0.182 |
| panas.02p | 0.868 | -0.021 |
| panas.03p | 0.472 | 0.432 |
| panas.04p | 0.854 | 0.069 |
| panas.05p | 0.888 | -0.119 |
| panas.06p | -0.128 | 0.942 |
| panas.07p | 0.929 | -0.105 |
| panas.08p | 0.673 | 0.241 |
| panas.09p | 0.196 | 0.740 |
| panas.10p | 0.446 | 0.534 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| panas.01p | 3.4667 | 4 | 1.6 | 1.2649 | 3 | 0.1333 | 1 | 2 | 5 | 5 | -0.3322 | -1.0339 | 0.1333 | 90 | 0 | 90 |
| panas.02p | 2.7333 | 3 | 1.6584 | 1.2878 | 2 | 0.1357 | 1 | 2 | 4 | 5 | 0.2248 | -0.9924 | 0.1222 | 90 | 0 | 90 |
| panas.03p | 2.4222 | 2 | 1.7748 | 1.3322 | 2 | 0.1404 | 1 | 1 | 4 | 5 | 0.4916 | -0.9541 | 0.1056 | 90 | 0 | 90 |
| panas.04p | 2.6 | 3 | 1.4787 | 1.216 | 2 | 0.1282 | 1 | 2 | 4 | 5 | 0.2025 | -1.0146 | 0.1222 | 90 | 0 | 90 |
| panas.05p | 1.9333 | 1 | 1.6584 | 1.2878 | 2 | 0.1357 | 1 | NA | 3 | 5 | 0.9983 | -0.5274 | 0.0833 | 90 | 0 | 90 |
| panas.06p | 3.1111 | 3 | 1.6055 | 1.2671 | 2 | 0.1336 | 1 | 2 | 4 | 5 | -0.2133 | -1.0606 | 0.1056 | 90 | 0 | 90 |
| panas.07p | 2.5889 | 2 | 1.8403 | 1.3566 | 3 | 0.143 | 1 | 1 | 4 | 5 | 0.4845 | -0.9623 | 0.1278 | 90 | 0 | 90 |
| panas.08p | 2.4333 | 2 | 1.5966 | 1.2636 | 2 | 0.1332 | 1 | 1 | 4 | 5 | 0.3927 | -1.0282 | 0.1222 | 90 | 0 | 90 |
| panas.09p | 3.2778 | 3 | 1.2591 | 1.1221 | 1 | 0.1183 | 1 | 2 | 4 | 5 | -0.2791 | -0.4901 | 0.1444 | 90 | 0 | 90 |
| panas.10p | 2.7667 | 3 | 1.5517 | 1.2457 | 2 | 0.1313 | 1 | 1 | 4 | 5 | -0.0427 | -0.9726 | 0.1167 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| panas.01p | numeric | 0 | 1 | 1 | 4 | 5 | 3.466667 | 1.264911 | <U+2582><U+2586><U+2586><U+2587><U+2587> | NA |
| panas.02p | numeric | 0 | 1 | 1 | 3 | 5 | 2.733333 | 1.287799 | <U+2586><U+2587><U+2587><U+2586><U+2583> | NA |
| panas.03p | numeric | 0 | 1 | 1 | 2 | 5 | 2.422222 | 1.332209 | <U+2587><U+2585><U+2585><U+2583><U+2582> | NA |
| panas.04p | numeric | 0 | 1 | 1 | 3 | 5 | 2.600000 | 1.215998 | <U+2587><U+2587><U+2587><U+2586><U+2582> | NA |
| panas.05p | numeric | 0 | 1 | 1 | 1 | 5 | 1.933333 | 1.287799 | <U+2587><U+2582><U+2581><U+2582><U+2581> | NA |
| panas.06p | numeric | 0 | 1 | 1 | 3 | 5 | 3.111111 | 1.267081 | <U+2583><U+2585><U+2585><U+2587><U+2583> | NA |
| panas.07p | numeric | 0 | 1 | 1 | 2 | 5 | 2.588889 | 1.356586 | <U+2587><U+2587><U+2585><U+2583><U+2583> | NA |
| panas.08p | numeric | 0 | 1 | 1 | 2 | 5 | 2.433333 | 1.263578 | <U+2587><U+2586><U+2585><U+2585><U+2582> | NA |
| panas.09p | numeric | 0 | 1 | 1 | 3 | 5 | 3.277778 | 1.122075 | <U+2582><U+2583><U+2587><U+2587><U+2583> | NA |
| panas.10p | numeric | 0 | 1 | 1 | 3 | 5 | 2.766667 | 1.245667 | <U+2586><U+2583><U+2587><U+2585><U+2582> | NA |
Reliability: .
Missing: 0.
Likert plot of scale conflictman items
Distribution of scale conflictman
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | conflictman.01, conflictman.02, conflictman.03, conflictman.04, conflictman.05, conflictman.06, conflictman.07, conflictman.08, conflictman.09, conflictman.10, conflictman.11, conflictman.12, conflictman.13, conflictman.14, conflictman.15, conflictman.16, conflictman.17, conflictman.18 & conflictman.19 |
| Observations: | 90 |
| Positive correlations: | 143 |
| Number of correlations: | 171 |
| Percentage positive correlations: | 84 |
| Omega (total): | 0.78 |
| Omega (hierarchical): | 0.28 |
| Revelle’s Omega (total): | 0.78 |
| Greatest Lower Bound (GLB): | 0.88 |
| Coefficient H: | 0.78 |
| Coefficient Alpha: | 0.73 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
3.481, 1.942, 1.898, 1.402, 1.256, 1.135, 1.026, 1.006, 0.863, 0.761, 0.722, 0.676, 0.587, 0.471, 0.461, 0.398, 0.349, 0.295 & 0.27
| TC3 | TC1 | TC2 | TC6 | TC8 | TC7 | TC4 | TC5 | |
|---|---|---|---|---|---|---|---|---|
| conflictman.01 | 0.533 | 0.299 | 0.232 | -0.277 | 0.131 | 0.063 | -0.213 | 0.060 |
| conflictman.02 | 0.093 | -0.156 | 0.524 | -0.262 | 0.158 | 0.118 | 0.409 | -0.056 |
| conflictman.03 | -0.021 | 0.803 | -0.042 | 0.087 | -0.001 | 0.234 | 0.103 | -0.161 |
| conflictman.04 | 0.549 | 0.210 | 0.342 | 0.228 | -0.123 | -0.323 | 0.042 | 0.071 |
| conflictman.05 | 0.123 | 0.562 | -0.429 | 0.062 | 0.156 | -0.342 | 0.192 | 0.109 |
| conflictman.06 | 0.710 | -0.039 | -0.240 | 0.154 | -0.075 | 0.056 | -0.039 | -0.028 |
| conflictman.07 | -0.202 | 0.177 | -0.100 | 0.211 | 0.385 | 0.524 | -0.032 | 0.069 |
| conflictman.08 | -0.128 | 0.001 | 0.093 | -0.147 | 0.800 | -0.047 | -0.009 | 0.134 |
| conflictman.09 | -0.178 | 0.150 | 0.216 | -0.090 | 0.054 | 0.138 | 0.481 | 0.440 |
| conflictman.10 | 0.752 | -0.063 | 0.040 | -0.135 | 0.110 | 0.179 | 0.071 | 0.160 |
| conflictman.11 | -0.076 | 0.261 | 0.475 | 0.178 | 0.126 | 0.214 | -0.329 | 0.374 |
| conflictman.12 | 0.129 | -0.134 | -0.142 | 0.052 | -0.009 | -0.075 | 0.059 | 0.886 |
| conflictman.13 | 0.022 | 0.005 | 0.774 | 0.197 | 0.083 | -0.085 | 0.113 | -0.160 |
| conflictman.14 | -0.007 | 0.079 | 0.023 | 0.049 | -0.009 | 0.041 | 0.880 | 0.044 |
| conflictman.15 | 0.007 | 0.770 | 0.127 | -0.275 | -0.033 | -0.025 | -0.023 | 0.001 |
| conflictman.16 | 0.185 | 0.082 | 0.008 | -0.010 | -0.137 | 0.811 | 0.111 | -0.054 |
| conflictman.17 | 0.307 | -0.058 | -0.014 | 0.236 | 0.660 | -0.122 | 0.057 | -0.266 |
| conflictman.18 | 0.199 | 0.223 | -0.186 | -0.672 | 0.213 | 0.188 | 0.009 | -0.034 |
| conflictman.19 | 0.188 | 0.008 | 0.067 | 0.688 | 0.205 | 0.240 | -0.005 | 0.062 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| conflictman.01 | 3.1667 | 3 | 0.5674 | 0.7533 | 1 | 0.0794 | 1 | 2 | 4 | 4 | -0.6094 | 0.0181 | 0.1778 | 90 | 0 | 90 |
| conflictman.02 | 2.5889 | 3 | 0.7167 | 0.8466 | 1 | 0.0892 | 1 | 2 | 4 | 4 | -0.115 | -0.5358 | 0.1722 | 90 | 0 | 90 |
| conflictman.03 | 3.2222 | 3 | 0.5119 | 0.7154 | 1 | 0.0754 | 1 | 2 | 4 | 4 | -0.9212 | 1.4094 | 0.1778 | 90 | 0 | 90 |
| conflictman.04 | 3.0889 | 3 | 0.5763 | 0.7591 | 1 | 0.08 | 1 | 2 | 4 | 4 | -0.6236 | 0.2984 | 0.15 | 90 | 0 | 90 |
| conflictman.05 | 3.3 | 3 | 0.5045 | 0.7103 | 1 | 0.0749 | 1 | 2 | 4 | 4 | -0.7004 | 0.0241 | 0.2167 | 90 | 0 | 90 |
| conflictman.06 | 3.2333 | 3 | 0.4281 | 0.6543 | 1 | 0.069 | 1 | 2 | 4 | 4 | -0.5257 | 0.454 | 0.1722 | 90 | 0 | 90 |
| conflictman.07 | 2.9778 | 3 | 0.4489 | 0.67 | 0 | 0.0706 | 1 | 2 | 4 | 4 | -0.2038 | -0.038 | 0.1 | 90 | 0 | 90 |
| conflictman.08 | 3.0444 | 3 | 0.4699 | 0.6855 | 0 | 0.0723 | 1 | 2 | 4 | 4 | -0.6986 | 1.3044 | 0.1111 | 90 | 0 | 90 |
| conflictman.09 | 2.3444 | 2 | 0.7452 | 0.8632 | 1 | 0.091 | 1 | 1 | 3 | 4 | -0.0931 | -0.7727 | 0.1722 | 90 | 0 | 90 |
| conflictman.10 | 3.4 | 3 | 0.4449 | 0.667 | 1 | 0.0703 | 1 | 2 | 4 | 4 | -0.9014 | 0.7167 | 0.2167 | 90 | 0 | 90 |
| conflictman.11 | 2.2222 | 2 | 1.0062 | 1.0031 | 2 | 0.1057 | 1 | 1 | 3 | 4 | 0.0832 | -1.2431 | 0.1611 | 90 | 0 | 90 |
| conflictman.12 | 2.6778 | 3 | 0.513 | 0.7162 | 1 | 0.0755 | 1 | 2 | 4 | 4 | 0.0045 | -0.2822 | 0.1833 | 90 | 0 | 90 |
| conflictman.13 | 1.9778 | 2 | 0.7635 | 0.8738 | 2 | 0.0921 | 1 | 1 | 3 | 4 | 0.457 | -0.6678 | 0.1722 | 90 | 0 | 90 |
| conflictman.14 | 2.9222 | 3 | 0.8141 | 0.9023 | 2 | 0.0951 | 1 | 2 | 4 | 4 | -0.5953 | -0.3014 | 0.1389 | 90 | 0 | 90 |
| conflictman.15 | 3.0333 | 3 | 0.6169 | 0.7854 | 1 | 0.0828 | 1 | 2 | 4 | 4 | -0.7707 | 0.6541 | 0.1333 | 90 | 0 | 90 |
| conflictman.16 | 3.4333 | 4 | 0.6079 | 0.7797 | 1 | 0.0822 | 1 | 3 | NA | 4 | -1.2282 | 0.7565 | 0.1389 | 90 | 0 | 90 |
| conflictman.17 | 3.2111 | 3 | 0.5055 | 0.711 | 1 | 0.0749 | 1 | 2 | 4 | 4 | -0.5224 | -0.1597 | 0.1833 | 90 | 0 | 90 |
| conflictman.18 | 3.5 | 4 | 0.4551 | 0.6746 | 1 | 0.0711 | 1 | 3 | NA | 4 | -1.2353 | 1.2277 | 0.1667 | 90 | 0 | 90 |
| conflictman.19 | 2.1444 | 2 | 0.934 | 0.9664 | 2 | 0.1019 | 1 | 1 | 3 | 4 | 0.391 | -0.8328 | 0.15 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| conflictman.01 | numeric | 0 | 1 | 1 | 3 | 4 | 3.166667 | 0.7532700 | <U+2581><U+2582><U+2581><U+2587><U+2586> | NA |
| conflictman.02 | numeric | 0 | 1 | 1 | 3 | 4 | 2.588889 | 0.8465985 | <U+2582><U+2586><U+2581><U+2587><U+2582> | NA |
| conflictman.03 | numeric | 0 | 1 | 1 | 3 | 4 | 3.222222 | 0.7154440 | <U+2581><U+2581><U+2581><U+2587><U+2585> | NA |
| conflictman.04 | numeric | 0 | 1 | 1 | 3 | 4 | 3.088889 | 0.7591309 | <U+2581><U+2582><U+2581><U+2587><U+2585> | NA |
| conflictman.05 | numeric | 0 | 1 | 1 | 3 | 4 | 3.300000 | 0.7102777 | <U+2581><U+2582><U+2581><U+2587><U+2587> | NA |
| conflictman.06 | numeric | 0 | 1 | 1 | 3 | 4 | 3.233333 | 0.6542858 | <U+2581><U+2581><U+2581><U+2587><U+2585> | NA |
| conflictman.07 | numeric | 0 | 1 | 1 | 3 | 4 | 2.977778 | 0.6700290 | <U+2581><U+2583><U+2581><U+2587><U+2583> | NA |
| conflictman.08 | numeric | 0 | 1 | 1 | 3 | 4 | 3.044444 | 0.6855017 | <U+2581><U+2582><U+2581><U+2587><U+2583> | NA |
| conflictman.09 | numeric | 0 | 1 | 1 | 2 | 4 | 2.344444 | 0.8632459 | <U+2583><U+2587><U+2581><U+2587><U+2581> | NA |
| conflictman.10 | numeric | 0 | 1 | 1 | 3 | 4 | 3.400000 | 0.6670411 | <U+2581><U+2581><U+2581><U+2587><U+2587> | NA |
| conflictman.11 | numeric | 0 | 1 | 1 | 2 | 4 | 2.222222 | 1.0031162 | <U+2587><U+2585><U+2581><U+2587><U+2582> | NA |
| conflictman.12 | numeric | 0 | 1 | 1 | 3 | 4 | 2.677778 | 0.7162289 | <U+2581><U+2586><U+2581><U+2587><U+2582> | NA |
| conflictman.13 | numeric | 0 | 1 | 1 | 2 | 4 | 1.977778 | 0.8738109 | <U+2587><U+2587><U+2581><U+2585><U+2581> | NA |
| conflictman.14 | numeric | 0 | 1 | 1 | 3 | 4 | 2.922222 | 0.9022790 | <U+2582><U+2583><U+2581><U+2587><U+2585> | NA |
| conflictman.15 | numeric | 0 | 1 | 1 | 3 | 4 | 3.033333 | 0.7854005 | <U+2581><U+2582><U+2581><U+2587><U+2583> | NA |
| conflictman.16 | numeric | 0 | 1 | 1 | 4 | 4 | 3.433333 | 0.7796571 | <U+2581><U+2582><U+2581><U+2583><U+2587> | NA |
| conflictman.17 | numeric | 0 | 1 | 1 | 3 | 4 | 3.211111 | 0.7109804 | <U+2581><U+2582><U+2581><U+2587><U+2586> | NA |
| conflictman.18 | numeric | 0 | 1 | 1 | 4 | 4 | 3.500000 | 0.6745785 | <U+2581><U+2581><U+2581><U+2585><U+2587> | NA |
| conflictman.19 | numeric | 0 | 1 | 1 | 2 | 4 | 2.144444 | 0.9664148 | <U+2587><U+2587><U+2581><U+2586><U+2582> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_bi items
Distribution of scale TAM_bi
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_bi.01, tam_bi.02, tam_bi.03, tam_bi.04 & tam_bi.05 |
| Observations: | 90 |
| Positive correlations: | 10 |
| Number of correlations: | 10 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.94 |
| Omega (hierarchical): | 0.93 |
| Revelle’s Omega (total): | 0.94 |
| Greatest Lower Bound (GLB): | 0.95 |
| Coefficient H: | 0.97 |
| Coefficient Alpha: | 0.92 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
3.781, 0.645, 0.306, 0.201 & 0.067
| PC1 | |
|---|---|
| tam_bi.01 | 0.948 |
| tam_bi.02 | 0.953 |
| tam_bi.03 | 0.696 |
| tam_bi.04 | 0.815 |
| tam_bi.05 | 0.907 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_bi.01 | 3.7778 | 4 | 3.7703 | 1.9417 | 3 | 0.2047 | 1 | 1 | 5 | 7 | -0.0366 | -1.0917 | 0.1 | 90 | 0 | 90 |
| tam_bi.02 | 3.8444 | 4 | 3.3913 | 1.8415 | 3 | 0.1941 | 1 | 2 | 5 | 7 | -0.1634 | -0.9583 | 0.1 | 90 | 0 | 90 |
| tam_bi.03 | 4.2667 | 5 | 3.1865 | 1.7851 | 2 | 0.1882 | 1 | 3 | 6 | 7 | -0.4982 | -0.7605 | 0.0833 | 90 | 0 | 90 |
| tam_bi.04 | 3.3889 | 3 | 3.8808 | 1.97 | 4 | 0.2077 | 1 | 1 | 5 | 7 | 0.1514 | -1.3458 | 0.0889 | 90 | 0 | 90 |
| tam_bi.05 | 3.7778 | 4 | 3.7928 | 1.9475 | 3 | 0.2053 | 1 | 2 | 5 | 7 | -0.0435 | -1.1278 | 0.1 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_bi.01 | numeric | 0 | 1 | 1 | 4 | 7 | 3.777778 | 1.941723 | <U+2587><U+2582><U+2586><U+2585><U+2585> | NA |
| tam_bi.02 | numeric | 0 | 1 | 1 | 4 | 7 | 3.844444 | 1.841538 | <U+2587><U+2583><U+2586><U+2587><U+2585> | NA |
| tam_bi.03 | numeric | 0 | 1 | 1 | 5 | 7 | 4.266667 | 1.785082 | <U+2585><U+2583><U+2582><U+2587><U+2586> | NA |
| tam_bi.04 | numeric | 0 | 1 | 1 | 3 | 7 | 3.388889 | 1.969968 | <U+2587><U+2582><U+2582><U+2583><U+2583> | NA |
| tam_bi.05 | numeric | 0 | 1 | 1 | 4 | 7 | 3.777778 | 1.947501 | <U+2587><U+2582><U+2585><U+2586><U+2585> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_canx items
Distribution of scale TAM_canx
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_canx.01n, tam_canx.02, tam_canx.03 & tam_canx.04 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 6 |
| Percentage positive correlations: | 50 |
| Omega (total): | 0.95 |
| Omega (hierarchical): | 0.90 |
| Revelle’s Omega (total): | 0.95 |
| Greatest Lower Bound (GLB): | 0.88 |
| Coefficient H: | 0.97 |
| Coefficient Alpha: | 0.46 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
3.355, 0.435, 0.139 & 0.071
| PC1 | |
|---|---|
| tam_canx.01n | -0.816 |
| tam_canx.02 | 0.918 |
| tam_canx.03 | 0.958 |
| tam_canx.04 | 0.963 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_canx.01n | 2.4556 | 2 | 1.7115 | 1.3082 | 2 | 0.1379 | 1 | 1 | 3 | 7 | 1.0691 | 1.2534 | 0.1278 | 90 | 0 | 90 |
| tam_canx.02 | 5.4556 | 6 | 2.3856 | 1.5446 | 2 | 0.1628 | 1 | 5 | 7 | 7 | -1.0469 | 0.7197 | 0.1556 | 90 | 0 | 90 |
| tam_canx.03 | 5.2444 | 5.5 | 2.5463 | 1.5957 | 3 | 0.1682 | 1 | 4 | 7 | 7 | -0.8018 | -0.0643 | 0.1167 | 90 | 0 | 90 |
| tam_canx.04 | 5.3222 | 6 | 2.5355 | 1.5923 | 2 | 0.1678 | 1 | 5 | 7 | 7 | -0.8372 | -0.1785 | 0.1278 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_canx.01n | numeric | 0 | 1 | 1 | 2.0 | 7 | 2.455556 | 1.308238 | <U+2587><U+2583><U+2581><U+2581><U+2581> | NA |
| tam_canx.02 | numeric | 0 | 1 | 1 | 6.0 | 7 | 5.455556 | 1.544553 | <U+2581><U+2581><U+2581><U+2585><U+2587> | NA |
| tam_canx.03 | numeric | 0 | 1 | 1 | 5.5 | 7 | 5.244444 | 1.595718 | <U+2581><U+2581><U+2582><U+2583><U+2587> | NA |
| tam_canx.04 | numeric | 0 | 1 | 1 | 6.0 | 7 | 5.322222 | 1.592311 | <U+2581><U+2582><U+2581><U+2583><U+2587> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_enj items
Distribution of scale TAM_enj
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_enj.01, tam_enj.02 & tam_enj.03 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 3 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.91 |
| Omega (hierarchical): | 0.00 |
| Revelle’s Omega (total): | 0.91 |
| Greatest Lower Bound (GLB): | 0.92 |
| Coefficient H: | 0.92 |
| Coefficient Alpha: | 0.91 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.541, 0.277 & 0.182
| PC1 | |
|---|---|
| tam_enj.01 | 0.939 |
| tam_enj.02 | 0.913 |
| tam_enj.03 | 0.909 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_enj.01 | 4.0111 | 4 | 3.3819 | 1.839 | 2 | 0.1938 | 1 | 2 | 6 | 7 | -0.2273 | -0.9282 | 0.0889 | 90 | 0 | 90 |
| tam_enj.02 | 4.1 | 4 | 2.8775 | 1.6963 | 2 | 0.1788 | 1 | 2 | 5 | 7 | -0.3153 | -0.4631 | 0.1333 | 90 | 0 | 90 |
| tam_enj.03 | 3.9 | 4 | 2.9899 | 1.7291 | 2 | 0.1823 | 1 | 2 | 5 | 7 | -0.1891 | -0.7791 | 0.1167 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_enj.01 | numeric | 0 | 1 | 1 | 4 | 7 | 4.011111 | 1.838994 | <U+2587><U+2585><U+2587><U+2586><U+2587> | NA |
| tam_enj.02 | numeric | 0 | 1 | 1 | 4 | 7 | 4.100000 | 1.696328 | <U+2586><U+2583><U+2587><U+2587><U+2585> | NA |
| tam_enj.03 | numeric | 0 | 1 | 1 | 4 | 7 | 3.900000 | 1.729129 | <U+2587><U+2583><U+2587><U+2587><U+2585> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_img items
Distribution of scale TAM_img
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_img.01, tam_img.02 & tam_img.03 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 3 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.90 |
| Omega (hierarchical): | 0.03 |
| Revelle’s Omega (total): | 0.90 |
| Greatest Lower Bound (GLB): | 0.91 |
| Coefficient H: | 0.91 |
| Coefficient Alpha: | 0.90 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.498, 0.309 & 0.193
| PC1 | |
|---|---|
| tam_img.01 | 0.931 |
| tam_img.02 | 0.890 |
| tam_img.03 | 0.916 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_img.01 | 3.7778 | 4 | 3.1635 | 1.7786 | 3 | 0.1875 | 1 | 2 | 5 | 7 | -0.1211 | -1.1082 | 0.075 | 90 | 0 | 90 |
| tam_img.02 | 3.9889 | 4 | 2.9325 | 1.7124 | 2 | 0.1805 | 1 | 2 | 5 | 7 | -0.257 | -0.8677 | 0.0833 | 90 | 0 | 90 |
| tam_img.03 | 4.0778 | 4 | 3.1512 | 1.7752 | 2 | 0.1871 | 1 | 2 | 6 | 7 | -0.268 | -0.9258 | 0.1 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_img.01 | numeric | 0 | 1 | 1 | 4 | 7 | 3.777778 | 1.778636 | <U+2587><U+2583><U+2583><U+2587><U+2585> | NA |
| tam_img.02 | numeric | 0 | 1 | 1 | 4 | 7 | 3.988889 | 1.712443 | <U+2586><U+2583><U+2585><U+2587><U+2585> | NA |
| tam_img.03 | numeric | 0 | 1 | 1 | 4 | 7 | 4.077778 | 1.775158 | <U+2587><U+2582><U+2587><U+2586><U+2587> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_pec items
Distribution of scale TAM_pec
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_pec.01, tam_pec.02, tam_pec.03 & tam_pec.04 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 6 |
| Percentage positive correlations: | 50 |
| Omega (total): | 0.58 |
| Omega (hierarchical): | 0.20 |
| Revelle’s Omega (total): | 0.58 |
| Greatest Lower Bound (GLB): | 0.69 |
| Coefficient H: | 0.87 |
| Coefficient Alpha: | 0.44 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.27, 0.932, 0.499 & 0.298
| PC1 | |
|---|---|
| tam_pec.01 | 0.739 |
| tam_pec.02 | 0.854 |
| tam_pec.03 | 0.893 |
| tam_pec.04 | -0.447 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_pec.01 | 4.5111 | 5 | 2.5448 | 1.5952 | 3 | 0.1682 | 1 | 3 | 6 | 7 | -0.4622 | -0.3519 | 0.0833 | 90 | 0 | 90 |
| tam_pec.02 | 4.9667 | 5 | 1.8978 | 1.3776 | 2 | 0.1452 | 1 | 4 | 6 | 7 | -0.4928 | -0.0704 | 0.1222 | 90 | 0 | 90 |
| tam_pec.03 | 4.9778 | 5 | 1.9321 | 1.39 | 2 | 0.1465 | 1 | 4 | 6 | 7 | -0.9351 | 0.786 | 0.1389 | 90 | 0 | 90 |
| tam_pec.04 | 3.4556 | 4 | 2.3632 | 1.5373 | 2 | 0.162 | 1 | 2 | 6 | 7 | 0.3323 | 0.0209 | 0.0889 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_pec.01 | numeric | 0 | 1 | 1 | 5 | 7 | 4.511111 | 1.595249 | <U+2583><U+2583><U+2585><U+2587><U+2587> | NA |
| tam_pec.02 | numeric | 0 | 1 | 1 | 5 | 7 | 4.966667 | 1.377590 | <U+2581><U+2582><U+2585><U+2586><U+2587> | NA |
| tam_pec.03 | numeric | 0 | 1 | 1 | 5 | 7 | 4.977778 | 1.389995 | <U+2582><U+2581><U+2583><U+2587><U+2587> | NA |
| tam_pec.04 | numeric | 0 | 1 | 1 | 4 | 7 | 3.455556 | 1.537261 | <U+2586><U+2583><U+2587><U+2581><U+2582> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_pu items
Distribution of scale TAM_pu
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_pu.01, tam_pu.02, tam_pu.03 & tam_pu.04 |
| Observations: | 90 |
| Positive correlations: | 6 |
| Number of correlations: | 6 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.06 |
| Omega (hierarchical): | 0.05 |
| Revelle’s Omega (total): | 0.06 |
| Greatest Lower Bound (GLB): | 0.97 |
| Coefficient H: | 0.98 |
| Coefficient Alpha: | 0.97 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
3.685, 0.146, 0.102 & 0.068
| PC1 | |
|---|---|
| tam_pu.01 | 0.973 |
| tam_pu.02 | 0.965 |
| tam_pu.03 | 0.955 |
| tam_pu.04 | 0.946 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_pu.01 | 5.0333 | 5 | 2.6843 | 1.6384 | 2 | 0.1727 | 1 | 3 | 6 | 7 | -1.0423 | 0.7239 | 0.1278 | 90 | 0 | 90 |
| tam_pu.02 | 5.1111 | 5 | 2.7291 | 1.652 | 1 | 0.1741 | 1 | 3 | 6 | 7 | -1.0835 | 0.8386 | 0.1167 | 90 | 0 | 90 |
| tam_pu.03 | 4.9667 | 5 | 2.9764 | 1.7252 | 2 | 0.1819 | 1 | 3 | 7 | 7 | -0.8739 | 0.2273 | 0.1111 | 90 | 0 | 90 |
| tam_pu.04 | 4.8778 | 5 | 2.6478 | 1.6272 | 2 | 0.1715 | 1 | 4 | 6 | 7 | -0.9026 | 0.3771 | 0.1167 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_pu.01 | numeric | 0 | 1 | 1 | 5 | 7 | 5.033333 | 1.638374 | <U+2582><U+2581><U+2582><U+2586><U+2587> | NA |
| tam_pu.02 | numeric | 0 | 1 | 1 | 5 | 7 | 5.111111 | 1.651995 | <U+2582><U+2581><U+2582><U+2586><U+2587> | NA |
| tam_pu.03 | numeric | 0 | 1 | 1 | 5 | 7 | 4.966667 | 1.725226 | <U+2582><U+2581><U+2582><U+2587><U+2587> | NA |
| tam_pu.04 | numeric | 0 | 1 | 1 | 5 | 7 | 4.877778 | 1.627211 | <U+2582><U+2581><U+2583><U+2586><U+2587> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_rel items
Distribution of scale TAM_rel
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_rel.01, tam_rel.02 & tam_rel.03 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 3 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.95 |
| Omega (hierarchical): | 0.02 |
| Revelle’s Omega (total): | 0.95 |
| Greatest Lower Bound (GLB): | 0.96 |
| Coefficient H: | 0.96 |
| Coefficient Alpha: | 0.95 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.73, 0.174 & 0.096
| PC1 | |
|---|---|
| tam_rel.01 | 0.955 |
| tam_rel.02 | 0.966 |
| tam_rel.03 | 0.941 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_rel.01 | 4.4556 | 5 | 3.307 | 1.8185 | 3 | 0.1917 | 1 | 2 | 6 | 7 | -0.5804 | -0.7253 | 0.1167 | 90 | 0 | 90 |
| tam_rel.02 | 4.6 | 5 | 3.0067 | 1.734 | 2 | 0.1828 | 1 | 3 | 6 | 7 | -0.7871 | -0.2594 | 0.1333 | 90 | 0 | 90 |
| tam_rel.03 | 4.5 | 5 | 2.6573 | 1.6301 | 1 | 0.1718 | 1 | 3 | 6 | 7 | -0.8197 | -0.0592 | 0.0889 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_rel.01 | numeric | 0 | 1 | 1 | 5 | 7 | 4.455556 | 1.818513 | <U+2585><U+2581><U+2583><U+2586><U+2587> | NA |
| tam_rel.02 | numeric | 0 | 1 | 1 | 5 | 7 | 4.600000 | 1.733996 | <U+2583><U+2582><U+2583><U+2586><U+2587> | NA |
| tam_rel.03 | numeric | 0 | 1 | 1 | 5 | 7 | 4.500000 | 1.630124 | <U+2583><U+2582><U+2582><U+2587><U+2585> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_res items
Distribution of scale TAM_res
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_res.01, tam_res.02, tam_res.03 & tam_res.04 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 6 |
| Percentage positive correlations: | 50 |
| Omega (total): | 0.80 |
| Omega (hierarchical): | 0.57 |
| Revelle’s Omega (total): | 0.80 |
| Greatest Lower Bound (GLB): | 0.60 |
| Coefficient H: | 0.73 |
| Coefficient Alpha: | -0.02 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.105, 1.043, 0.444 & 0.409
| TC1 | TC2 | |
|---|---|---|
| tam_res.01 | -0.108 | 0.937 |
| tam_res.02 | 0.875 | 0.023 |
| tam_res.03 | 0.201 | 0.791 |
| tam_res.04 | -0.887 | 0.014 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_res.01 | 5.1111 | 5 | 2.3471 | 1.532 | 2 | 0.1615 | 1 | 3 | 6 | 7 | -1.0347 | 0.7241 | 0.1333 | 90 | 0 | 90 |
| tam_res.02 | 5.4667 | 5 | 1.0157 | 1.0078 | 1 | 0.1062 | 2 | 3 | 6 | 7 | -0.7151 | 1.3527 | 0.1667 | 90 | 0 | 90 |
| tam_res.03 | 5.5333 | 6 | 1.4427 | 1.2011 | 1 | 0.1266 | 1 | 5 | 7 | 7 | -0.7367 | 0.8957 | 0.1278 | 90 | 0 | 90 |
| tam_res.04 | 2.9 | 3 | 2.0236 | 1.4225 | 2 | 0.1499 | 1 | 2 | 5 | 7 | 0.7789 | 0.1256 | 0.15 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_res.01 | numeric | 0 | 1 | 1 | 5 | 7 | 5.111111 | 1.532014 | <U+2581><U+2581><U+2582><U+2585><U+2587> | NA |
| tam_res.02 | numeric | 0 | 1 | 2 | 5 | 7 | 5.466667 | 1.007834 | <U+2581><U+2581><U+2587><U+2586><U+2582> | NA |
| tam_res.03 | numeric | 0 | 1 | 1 | 6 | 7 | 5.533333 | 1.201123 | <U+2581><U+2581><U+2582><U+2583><U+2587> | NA |
| tam_res.04 | numeric | 0 | 1 | 1 | 3 | 7 | 2.900000 | 1.422531 | <U+2587><U+2586><U+2582><U+2582><U+2581> | NA |
Reliability: .
Missing: 0.
Likert plot of scale TAM_sn items
Distribution of scale TAM_sn
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_sn.01, tam_sn.02, tam_sn.03 & tam_sn.04 |
| Observations: | 90 |
| Positive correlations: | 6 |
| Number of correlations: | 6 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.83 |
| Omega (hierarchical): | 0.69 |
| Revelle’s Omega (total): | 0.83 |
| Greatest Lower Bound (GLB): | 0.83 |
| Coefficient H: | 0.86 |
| Coefficient Alpha: | 0.76 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.376, 0.824, 0.52 & 0.28
| PC1 | |
|---|---|
| tam_sn.01 | 0.813 |
| tam_sn.02 | 0.863 |
| tam_sn.03 | 0.786 |
| tam_sn.04 | 0.595 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_sn.01 | 3.3778 | 4 | 2.2602 | 1.5034 | 2 | 0.1585 | 1 | 2 | 5 | 6 | -0.1448 | -0.9941 | 0.0889 | 90 | 0 | 90 |
| tam_sn.02 | 3.1 | 3 | 2.1809 | 1.4768 | 2 | 0.1557 | 1 | 2 | 5 | 7 | 0.2308 | -0.7954 | 0.1056 | 90 | 0 | 90 |
| tam_sn.03 | 4.2444 | 5 | 2.1643 | 1.4712 | 2 | 0.1551 | 1 | 3 | 6 | 7 | -0.5651 | -0.0408 | 0.1111 | 90 | 0 | 90 |
| tam_sn.04 | 3.8556 | 4 | 2.462 | 1.5691 | 2 | 0.1654 | 1 | 3 | 5 | 7 | -0.1481 | -1.0163 | 0.1222 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_sn.01 | numeric | 0 | 1 | 1 | 4 | 6 | 3.377778 | 1.503388 | <U+2587><U+2583><U+2587><U+2585><U+2582> | NA |
| tam_sn.02 | numeric | 0 | 1 | 1 | 3 | 7 | 3.100000 | 1.476787 | <U+2587><U+2585><U+2583><U+2583><U+2581> | NA |
| tam_sn.03 | numeric | 0 | 1 | 1 | 5 | 7 | 4.244444 | 1.471154 | <U+2583><U+2582><U+2585><U+2587><U+2583> | NA |
| tam_sn.04 | numeric | 0 | 1 | 1 | 4 | 7 | 3.855556 | 1.569091 | <U+2586><U+2587><U+2583><U+2587><U+2585> | NA |
Reliability: .
Missing: 0.
## Error in likert::likert(as.data.frame(items)): All items (columns) must have the same number of levels
Distribution of scale TAM_vol
## No viewer found, probably documenting or testing
| Dataframe: | res$dat |
| Items: | tam_vol.01, tam_vol.02 & tam_vol.03 |
| Observations: | 90 |
| Positive correlations: | 3 |
| Number of correlations: | 3 |
| Percentage positive correlations: | 100 |
| Omega (total): | 0.81 |
| Omega (hierarchical): | 0.04 |
| Revelle’s Omega (total): | 0.81 |
| Greatest Lower Bound (GLB): | 0.82 |
| Coefficient H: | 0.82 |
| Coefficient Alpha: | 0.79 |
(Estimates assuming ordinal level not computed, as the polychoric correlation matrix has missing values.)
Note: the normal point estimate and confidence interval for omega are based on the procedure suggested by Dunn, Baguley & Brunsden (2013) using the MBESS function ci.reliability, whereas the psych package point estimate was suggested in Revelle & Zinbarg (2008). See the help (‘?ufs::scaleStructure’) for more information.
2.149, 0.491 & 0.36
| PC1 | |
|---|---|
| tam_vol.01 | 0.816 |
| tam_vol.02 | 0.872 |
| tam_vol.03 | 0.850 |
| mean | median | var | sd | IQR | se | min | q1 | q3 | max | skew | kurt | dip | n | NA | valid | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tam_vol.01 | 6.6111 | 7 | 0.7797 | 0.883 | 0 | 0.0931 | 2 | 6 | NA | 7 | -3.0506 | 10.8505 | 0.0722 | 90 | 0 | 90 |
| tam_vol.02 | 6.5889 | 7 | 0.7841 | 0.8855 | 1 | 0.0933 | 2 | 6 | NA | 7 | -2.9569 | 10.381 | 0.0833 | 90 | 0 | 90 |
| tam_vol.03 | 6.1444 | 7 | 1.5632 | 1.2503 | 1 | 0.1318 | 2 | 6 | NA | 7 | -1.8672 | 3.4238 | 0.1333 | 90 | 0 | 90 |
Scatterplot
## No viewer found, probably documenting or testing
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| tam_vol.01 | numeric | 0 | 1 | 2 | 7 | 7 | 6.611111 | 0.8829782 | <U+2581><U+2581><U+2581><U+2582><U+2587> | NA |
| tam_vol.02 | numeric | 0 | 1 | 2 | 7 | 7 | 6.588889 | 0.8855195 | <U+2581><U+2581><U+2581><U+2582><U+2587> | NA |
| tam_vol.03 | numeric | 0 | 1 | 2 | 7 | 7 | 6.144444 | 1.2502684 | <U+2581><U+2581><U+2582><U+2583><U+2587> | NA |